Vcp Screener

Run the VCP screener script:

# Default: S&P 500, top 100 candidates
python3 skills/vcp-screener/scripts/screen_vcp.py --output-dir skills/vcp-screener/scripts

# Custom universe
python3 skills/vcp-screener/scripts/screen_vcp.py --universe AAPL NVDA MSFT AMZN META --output-dir skills/vcp-screener/scripts

# Full S&P 500 (paid API tier)
python3 skills/vcp-screener/scripts/screen_vcp.py --full-sp500 --output-dir skills/vcp-screener/scripts

Step 2: Review Results

1. Read the generated JSON and Markdown reports
2. Load references/vcp_methodology.md for pattern interpretation context
3. Load references/scoring_system.md for score threshold guidance

Step 3: Present Analysis

For each top candidate, present:

• VCP composite score and rating
• Contraction details (T1/T2/T3 depths and ratios)
• Trade setup: pivot price, stop-loss, risk percentage
• Volume dry-up ratio
• Relative strength rank

Step 4: Provide Actionable Guidance

Based on ratings:

• Textbook VCP (90+): Buy at pivot with aggressive sizing
• Strong VCP (80-89): Buy at pivot with standard sizing
• Good VCP (70-79): Buy on volume confirmation above pivot
• Developing (60-69): Add to watchlist, wait for tighter contraction
• Weak/No VCP (<60): Monitor only or skip

3-Phase Pipeline

1. Pre-Filter - Quote-based screening (price, volume, 52w position) ~101 API calls
2. Trend Template - 7-point Stage 2 filter with 260-day histories ~100 API calls
3. VCP Detection - Pattern analysis, scoring, report generation (no additional API calls)

Output

• vcp_screener_YYYY-MM-DD_HHMMSS.json - Structured results
• vcp_screener_YYYY-MM-DD_HHMMSS.md - Human-readable report

Resources

• references/vcp_methodology.md - VCP theory and Trend Template explanation
• references/scoring_system.md - Scoring thresholds and component weights
• references/fmp_api_endpoints.md - API endpoints and rate limits